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Data Scientist
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Job Info
- Job Identification12288
- Posting Date06/08/2026, 09:01 AM
- Job RoleProduct Development-Product Development
- Experience (In Years)3-6
Job Description
- Experience with Programming (Python, SQL, NoSQL, Spark) and ML tools and cloud technologies (AWS, Azure, GCP).
- Deep understanding of ML algorithms for common use cases in both structured and unstructured data systems.
- Experience with GenAI/ LLM tools (3-6 years practitioner in data science): LangChain, RAG pipelines, Embeddings & vector databases, Multi-modal LLMs, Fine-tuning techniques ()
- Experience in building FastAPI-based services and Dockerized deployments
- Experience building production-grade GenAI solutions
- Familiarity with:
- Multi-agent architectures and orchestration
- Exposure to enterprise analytics / BI tools:
- Power BI, Tableau, or other visualization tools
- Experience collaborating with UI/UX teams for AI-driven solution delivery
Responsibilities
- Experience with Programming (Python, SQL, NoSQL, Spark) and ML tools and cloud technologies (AWS, Azure, GCP).
- Deep understanding of ML algorithms for common use cases in both structured and unstructured data systems.
- Experience with GenAL/ LLM tools: LangChain, RAG pipelines, Embeddings & vector databases, Multi-modal LLMs, Fine-tuning techniques
- Experience in building FastAPI-based services and Dockerized deployments
- Experience building production-grade GenAI solutions
- Familiarity with:
- Multi-agent architectures and orchestration
- Exposure to enterprise analytics / BI tools:
- Power BI, Tableau, or other visualization tools
- Experience collaborating with UI/UX teams for AI-driven solution delivery
Qualifications
- Strong understanding of AI system evaluation, GenAI pipeline, AI application monitoring, and guardrails
- B.Tech / B.E. (Preferably from Tier-1 institutes)
Required Skills
- Agent Deployment
- Artificial Intelligence
- Communication Skills
- Data Pipeline Architecture
- Data Science
- Interpersonal Relationship Building
- LLM Agents
- Programming Data Science
- Team Collaboration
- Technical Documentation
- Working under Pressure
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